This platform is an interactive R Shiny-based web application designed to predict in vivo drug kinetics by integrating a patented biomimetic in vitro system (Korean Patent No. 10-2022-0153547) with mechanistic pharmacokinetic modeling. Leveraging experimental data on drug diffusion and cellular metabolism from the porous mesh-based system , the platform simulates the complex processes of drug absorption and metabolic clearance. This model-based strategy aims to provide a reliable, animal-free tool for pharmacokinetic prediction, thereby supporting the 3R (replacement, reduction, and refinement) principle by reducing the reliance on animal testing in drug development.

GH Effect Predictor for Idiopathic Short Stature Patients

GrowCast is a web-based R-Shiny application that predicts the growth hormone (GH) treatment effect in patients with idiopathic short stature (ISS). By entering patient information and treatment parameters, the app provides visual forecasts of expected height trajectories and percentile changes. The model applies a Nonlinear Mixed Effect model to deliver interpretable and accurate predictions. The output displays predicted height curves (with uncertainty intervals) and percentile scores in interactive graphs. With its intuitive UI and instantly reactive interface, users can easily assess the expected treatment outcomes.

Q2PCONV is a web-based R Shiny tool that converts qTMDD models into the newly developed pTMDD approximation. The pTMDD model, derived from the qTMDD model via first-order Taylor expansion, provides higher accuracy than traditional Michaelis-Menten models while being faster to compute than the Quasi-Steady-State (qTMDD) approach. Users can upload NONMEM .mod files and specify options such as receptor type, observation type, and receptor compartment. With a single click, the tool processes and translates the qTMDD model into pTMDD format. The converted file can then be reviewed and downloaded directly from the application.